Machine-learning-based channel predictors must operate under stringent latency, memory, and computational constraints while remaining robust to noisy and time-varying observations. This paper develops a causal channel-prediction framework based on three single-layer gated recurre…
We investigate SIR distributions and order statistics of user equipments (UEs) at a typical low Earth orbit satellite base station (LEO BS) with narrow Gaussian antenna beams in the uplink. We analyze SIR distributions for the three strongest UEs under successive interference can…
Interference is a limiting factor in the emerging dense low Earth orbit (LEO) networks. In the LEO network, the interference is spatially and temporally correlated. At narrow-beam LEO base stations (BSs), spatial interference can vary significantly, and multipath fading introduce…